Google Inc.

Ashutosh Shukla

Shashidhar Anil Thakur

Bryan Christopher Horling

Paul Bunn

Antoine Jean Bruguier

Subramaniam Ganapathy

Maureen Heymans

Matthew E Kulick

Jennifer Ellen Fernquist

Harish Rajamani

Pavel Nalivayko

Methods and apparatus are disclosed for resolving multiple interpretations of an ambiguous temporal term of a resource to a subset of the multiple interpretations. In some implementations, a group of one or more messages is identified, an ambiguous temporal term of the messages determined, additional content of the messages determined, and multiple interpretations of the ambiguous temporal term resolved to a subset based on the additional content.

Date and/or time resolution

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a query initial input from a user, in response to receiving the query initial input, determining a set of personalized query suggestions based on the query initial input, the set of personalized query suggestions including one or more content-based query suggestions that reflect at least one of user data associated with the user within one or more computer-implemented services and use of the one or more computer-implemented services by the user, and transmitting instructions to display the set of personalized query suggestions to the user.

Search query suggestions based on personal information

A computer device obtains a search query; obtains product search results based on the search query and a products search index that includes information regarding documents associated with products; determines a category associated with a set of result of the product search results; identifies candidate queries for the search query; determines whether the category matches one of the candidate queries; identifies that the search query is associated with a type of media identified by the category when the category matches one of the candidate queries; and provides, in response to identifying that the search query is associated with the type of media, a result document based on the type of media.

Identifying media queries

A ranked list of first search results based on a search query may be associated with a first search category, and each first search result may be associated with a first score. A ranked list of second search results based on the search query may be associated with a second, different search category, and a second search result may be associated with a second score. A final second score may be determined based on the second score and a function that maps scores associated with the second search category to scores associated with the first search category, information may be inserted relating to the ranked list of second search results at a position within the ranked list of first search results to form a set of search results, and the set of search results may be provided.

Floating ranking of product results

A server is configured to determine translations of queries from a first language into a second language, associated with a first specialized search engine, to obtain translated queries. The server is also configured to use a first model, associated with the first specialized search engine, to determine values for the translated queries. A value of the values, corresponding to a translated query of the translated queries, reflects a probability that the translated query is a type of query for which first specialized search results are responsive. The server is configured to create training data based on the queries and the values, and to create a second model based on the training data. The second model may be used to predict whether a particular query, received by the web search engine, is the type of query for which second specialized search results, from a second specialized search engine, are responsive.

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Mountain View, CA, United States of America

Ashutosh Shukla